Bayesian model selection without evidences: application to the dark energy equation-of-state
Bayesian model selection without evidences: application to the dark energy equation-of-state
A method is presented for Bayesian model selection without explicitly computing evidences, by using a combined likelihood and introducing an integer model selection parameter $n$ so that Bayes factors, or more generally posterior odds ratios, may be read off directly from the posterior of $n$. If the total number of …